R: Multiclass Probability Predictions

hpc_cv {yardstick} | R Documentation

## Multiclass Probability Predictions

### Description

Multiclass Probability Predictions

### Details

This data frame contains the predicted classes and class probabilities for a linear discriminant analysis model fit to the HPC data set from Kuhn and Johnson (2013). These data are the assessment sets from a 10-fold cross-validation scheme. The data column columns for the true class (`obs`), the class prediction (`pred`) and columns for each class probability (columns `VF`, `F`, `M`, and `L`). Additionally, a column for the resample indicator is included.

### Value

`hpc_cv` | a data frame

### Source

Kuhn, M., Johnson, K. (2013) Applied Predictive Modeling, Springer

### Examples

    data(hpc_cv)
    str(hpc_cv)

    # `obs` is a 4 level factor. The first level is `"VF"`, which is the
    # "event of interest" by default in yardstick. See the Relevant Level
    # section in any classification function (such as `?pr_auc`) to see how
    # to change this.
    levels(hpc_cv$obs)

[Package yardstick version 0.0.8 Index]